Evidence map›Paper›PMID 22510275›Full record

SynthesisAmerican journal of epidemiology2012

A meta-analysis and multisite time-series analysis of the differential toxicity of major fine particulate matter constituents.

Jonathan I Levy, David Diez, Yiping Dou, Christopher D Barr, Francesca Dominici

Abstract readMeta-AnalysisReview
In one paragraph

Synthesis in American journal of epidemiology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed, 4 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

44 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Review
  6. Residential Exposure to PMPaediatric and perinatal epidemiology · 2025
    Article
  7. Article
  8. Spatiotemporal trends in PMAtmospheric environment (Oxford, England : 1994) · 2024
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Atmospheric conditions and composition that influence PMAtmospheric chemistry and physics · 2021
    Article
  17. Article
  18. Article
  19. Global Effect Factors for Exposure to Fine Particulate Matter.Environmental science & technology · 2019
    Article
  20. Acute Effects of Air Pollution and Noise from Road Traffic in a Panel of Young Healthy Adults.International journal of environmental research and public health · 2019
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Jonathan I LevyDepartment of Environmental Health, School of Public Health, Boston University, Massachusetts, USA. jonlevy@bu.edu
David Diez
Yiping Dou
Christopher D Barr
Francesca Dominici

Funding

Statistiscal methods for population health research on chemical mixturesR01ES012054 · NIEHS · JOHNS HOPKINS UNIVERSITY · PI DOMINICI, FRANCESCA · 2003 to 2010
$3.1M
Statistical Methods for Complex Enivronmental Health DataR01ES019560 · NIEHS · JOHNS HOPKINS UNIVERSITY · PI PENG, ROGER · 2011 to 2015
$1.8M
Vulnerability and Adaptation to Heat and Air Pollution in a Changing ClimateR21ES022585 · NIEHS · HARVARD SCHOOL OF PUBLIC HEALTH · PI DOMINICI, FRANCESCA · 2014 to 2015
$454k
NIEHS NIH HHS R01 ES012054NIEHS NIH HHS R01ES012054NIEHS NIH HHS R01 ES019560NIEHS NIH HHS R01ES019560NIEHS NIH HHS R21 ES022585
6 · The paper itself

Abstract

Health risk assessments of particulate matter less than 2.5 μm in diameter (PM(2.5)) often assume that all constituents of PM(2.5) are equally toxic. While investigators in previous epidemiologic studies have evaluated health risks from various PM(2.5) constituents, few have conducted the analyses needed to directly inform risk assessments. In this study, the authors performed a literature review and conducted a multisite time-series analysis of hospital admissions and exposure to PM(2.5) constituents (elemental carbon, organic carbon matter, sulfate, and nitrate) in a population of 12 million US Medicare enrollees for the period 2000-2008. The literature review illustrated a general lack of multiconstituent models or insight about probabilities of differential impacts per unit of concentration change. Consistent with previous results, the multisite time-series analysis found statistically significant associations between short-term changes in elemental carbon and cardiovascular hospital admissions. Posterior probabilities from multiconstituent models provided evidence that some individual constituents were more toxic than others, and posterior parameter estimates coupled with correlations among these estimates provided necessary information for risk assessment. Ratios of constituent toxicities, commonly used in risk assessment to describe differential toxicity, were extremely uncertain for all comparisons. These analyses emphasize the subtlety of the statistical techniques and epidemiologic studies necessary to inform risk assessments of particle constituents.

Indexed as

Air PollutantsAir PollutionCarbonCardiovascular DiseasesHospitalizationHumansMedicareModels, StatisticalMultivariate AnalysisNitratesParticulate MatterPoisson DistributionRegression AnalysisRespiratory Tract DiseasesRisk AssessmentSulfatesAir PollutantsCarbonNitratesParticulate MatterSulfates

Identifiers

PMID22510275
PMCPMC3491972

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.